公开(公告)号：US20210264236A1

公开(公告)日：2021-08-26

申请号：US16802440

申请日：2020-02-26

Applicant: ADOBE INC.

Inventor： Ning XU ,  Bayram Safa CICEK ,  Hailin JIN ,  Zhaowen WANG

IPC: G06N3/04 ,  G06K9/62 ,  G06T11/00 ,  G06N3/08

Abstract: Embodiments of the present disclosure are directed towards improved models trained using unsupervised domain adaptation. In particular, a style-content adaptation system provides improved translation during unsupervised domain adaptation by controlling the alignment of conditional distributions of a model during training such that content (e.g., a class) from a target domain is correctly mapped to content (e.g., the same class) in a source domain. The style-content adaptation system improves unsupervised domain adaptation using independent control over content (e.g., related to a class) as well as style (e.g., related to a domain) to control alignment when translating between the source and target domain. This independent control over content and style can also allow for images to be generated using the style-content adaptation system that contain desired content and/or style.